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arXiv · 1508.03046

Exploring the 2MASS Extended and Point Source Catalogs with Clustering Redshifts

Mubdi Rahman·Brice Ménard·Ryan Scranton
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Abstract

The Two-Micron All-Sky Survey (2MASS) has mapped out the low-redshift Universe down to $K_S\sim14$ mag. As its near-infrared photometry primarily probes the featureless Rayleigh-Jeans tail of galaxy spectral energy distributions, colour-based redshift estimation is rather uninformative. Until now, redshift estimates for this dataset have relied on optical follow-up suffering from selection biases. Here we use the newly-developed technique of clustering-based redshift estimation to infer the redshift distribution of the 2MASS sources regardless of their optical properties. We characterise redshift distributions of objects from the Extended Source Catalogue as a function of near-infrared colours and brightness and report some observed trends. We also apply the clustering redshift technique to dropout populations, sources with non-detections in one or more near-infrared bands, and present their redshift distributions. Combining all extended sources, we confirm with clustering redshifts that the distribution of this sample extends up to $z\sim0.35$. % We perform a similar analysis with the Point Source Catalogue and show that it can be separated into stellar and extragalactic contributions with galaxies reaching $z\sim0.7$. We estimate that the Point Source Catalogue contains 1.6 million extragalactic objects: as many as in the Extended Source Catalogue but probing a cosmic volume ten times larger.

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Mubdi Rahman, Brice Ménard, Ryan Scranton. 2015-08-12. Exploring the 2MASS Extended and Point Source Catalogs with Clustering Redshifts. https://doi.org/10.1093/mnras/stw256

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